Search Results - (( data location based algorithm ) OR ( leaf optimization method algorithm ))
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Automated plant classification system using a hybrid of shape and color features of the leaf
Published 2016“…Automated plant leaf classification is a computerized approach that employs computer vision and machine learning algorithms to identify a plant based on the features of its leaf. …”
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Leaf condition analysis using convolutional neural network and vision transformer
Published 2024“…Besides, existing leaf disease detection programs do not provide an optimized user’s experience. …”
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Plant leaf recognition algorithm using ant colony-based feature extraction technique
Published 2013“…Then, based on the characteristics of each species, decision making is done by means of ant colony optimisation as a search algorithm to return the optimal subset of features regarding the related species. …”
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4
Evaluation of multiple In Situ and remote sensing system for early detection of Ganoderma boninense infected oil palm
Published 2018“…In conclusion, for early detection of Ganoderma, better accuracies were derived from the spectroradiometer which is a destructive and ground based method and still requires individual leaf sampling. …”
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Extreme learning machine for user location prediction in mobile environment
Published 2011“…Design/methodology/approach – Prediction approach to location determination based on historical data has attracted a lot of attention in recent studies, the reason being that it offers the convenience of using previously accumulated location data to subsequently determine locations using predictive algorithms. …”
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Extreme learning machine for user location prediction in mobile environment
Published 2011“…Design/methodology/approach – Prediction approach to location determination based on historical data has attracted a lot of attention in recent studies, the reason being that it offers the convenience of using previously accumulated location data to subsequently determine locations using predictive algorithms. …”
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Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning
Published 2016“…Moreover, instead of concatenating feature vectors together and send to classifier, sparse coding and dictionary learning methods are used and instead of considering all features as one view (visual feature), K-SVD algorithm that is one of the famous algorithms for sparse representation is optimized and developed to multi-view model.The experimental results prove that the proposed methods has improved accuracy by 53.77% compared to concatenating features and classic K-SVD dictionary learning model as well.…”
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9
Location based services of nearest petrol station using asymmetric key algorithm / Muhammad Awwab Mohd Amdan
Published 2014“…Location-based applications enabled by advances in sensing and tracking technology but it also create significant privacy risks. …”
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Finding the optimal road routes between two locations in East Kuala Lumpur by using A* Algorithm based on GPS data / Ilina Syazwani Musa
Published 2007“…The research efforts have been done over the years by the researchers around the world by using a number of different algorithms and different cases study. In this paper, we will use A* algorithm in road route in East Kuala Lumpur based on GPS data on the Garmin platform. …”
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Implementing Location-Based Cryptography on Mobile Application Design to Secure Data in Cloud Storage
Published 2024journal::journal article -
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Particle filter approach for tracking indoor user location using IEEE 802.11 signals
Published 2011“…The paper discussed the comparison between the true location and the estimated location based on two types of signals data: normal data and noise data. …”
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Indoor positioning using weighted magnetic field signal distance similarity measure and fuzzy based algorithms
Published 2021“…There is a high chance that a similar reading of those three components obtained at multiple locations. A magnetic-based positioning algorithm should fully utilise the three components of the magnetic field intensity data. …”
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Particle filter approach for estimating indoor mobile user location using IEEE 802.11 signals (F1090)
Published 2011“…The paper discussed the comparison between the true location and the estimated location based on two types of signals data: normal data and noise data. …”
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Proceeding Paper -
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Three phase fault algorithm in distribution system by using database approach and impedance based method
Published 2012“…A three phase fault location algorithm using database and impedance based method is utilized in distribution system to locate fault which may occur in any possible fault sections and to optimize the switching operations to reduce the outage time affected by fault. …”
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Application Of Multi-Layer Perceptron Technique To Detect And Locate The Base Of A Young Corn Plant
Published 2007“…In this research, a vision system algorithm has been developed to identify and locate base of young corn trees based upon robot vision technology, pattern recognition techniques, and knowledge-based decision theory. …”
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Off-the-shelf indoor localization system using radio frequency for wireless local area network
Published 2018“…In this research, a fingerprinting-based location algorithm is applied in indoor environments using WLAN. …”
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Deep plant: A deep learning approach for plant classification / Lee Sue Han
Published 2018“…They look for the procedures or algorithms that maximize the use of leaf databases for plant predictive modelling, but this results in leaf features which are liable to change with different leaf data and feature extraction techniques. …”
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Enhanced privacy protection from location dependent attacks in location based services using spatial cloaking
Published 2020“…This paper presents a solution to protect users from location-dependent attacks by improving the existing clique based cloaking algorithm. …”
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